Bharat Bhushan Sharma
Papers
1
Total Citations
24
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1
About
Bharat Bhushan Sharma is a control systems researcher whose work centers on the design of nonlinear observers and state estimation techniques for complex dynamical systems. His most notable contribution, the 2016 paper "Unknown input nonlinear observer design for continuous and discrete time systems with input recovery scheme," has garnered 24 citations, establishing a foundation for robust estimation in systems where inputs are partially unknown or inaccessible. This work addresses a critical challenge in control theory—how to simultaneously estimate system states and reconstruct unknown inputs—with applications spanning fault detection, secure communications, and autonomous systems. Sharma's approach bridges continuous and discrete time domains, offering practical solutions for real-world implementation. His research impacts fields requiring reliable monitoring and control under uncertainty, including aerospace, robotics, and industrial automation. By developing observer frameworks that recover unknown inputs, Sharma enables more resilient and self-diagnosing systems. His contributions continue to influence subsequent work in nonlinear control and observer design, making him a valuable reference for students and researchers tackling estimation problems in uncertain environments.
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Top Papers
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